Questions tagged [doc2vec]

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Document Similarity to List of Words in Sentiment Analysis [closed]

How would you go about finding document similarity to a list of words in Sentiment Analysis? Looking find document similarity to multiple lists of words in sentiment analysis. I had been working on ...
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25 views

Doc2Vec most_similar() returns cosine similarity for inferred out-of-training-set vectors

According to the gensim documentation the doc2vec function most_similar() can be called with a doctag and returns the top_n most similar documents (which were also present in the training set) Out-of-...
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85 views

Word2Vec with CNN

I am trying to classify documents using CNN (convolutional neural network) with Word2Vec embeddings. However to do this, it requires me to trim all texts to the same length. I just pad all the ...
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19 views

Topic alignment / topic modelling

What is the most efficient method for detecting whether the article is mostly about a specific topic, but without lots of data for training? My task is to determine how much a document is e.g. about ...
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1answer
51 views

How to implement LSTM using Doc2Vec vectors to get representation?

Hi all. I'm a newbie in ML. I read and found a paper about A Multi-Level Plagiarism Detection System Based on Deep Learning Algorithms and want to implement this model . But I can't find more about ...
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26 views

T-SNE good clustering but SVM classification poor

I am trying to classify in 4 different classes, paragraph embedding vector computed with doc2vec using an non-linear svm over them. When I visualize the embeddings using tensorboard t-sne I can see ...
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1answer
394 views

Use embeddings to find similarity between documents

I need to find cosine similarity between two text documents. I need embeddings that reflect order of the word sequence, so I don't plan to use document vectors built with bag of words or TF/IDF. ...
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1answer
59 views

Approach to semantic similarity between documents

I was wondering what approach people would take, or point me in the right direction on this challenge I have set myself. I am pretty new at this, I have covered some area but want to expand my ...
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16 views

Can feature representation acquired by a same model but trained on different corpus be used on the same classification model?

For example, if I wanna do document classification with doc2vec embeddings, first I train the training set to get doc2vec embeddings, and fit the embeddings to a classification model; later on when I ...